What is Pillows?

39/100
Trust Score (E)
🔴 Avoid

Pillows is a AI tool that An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xea5f03df37b4f8df69c1af706f1ca21bd4695005. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Pillows Does

Pillows is a agent in the AI tool category. An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs behind it.. It is published by 0xea5f03df37b4f8df69c1af706f1ca21bd4695005 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Pillows

Pillows is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0xea5f03df37b4f8df69c1af706f1ca21bd4695005
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=pillows

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is Pillows used for?
Pillows is a AI tool tool. An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs.
Is Pillows free?
License: Check project page. Pillows has 0 GitHub stars.
Is Pillows safe?
Pillows has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Pillows?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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